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Tableau und Power BI are two popular data visualization tools enabling companies to collect, analyze and represent important business information.

Tableau und Power BI combine various capabilities to effectively ease the collection, storage, analysis, and Visualisierung unterschiedlicher Datentypen aus mehreren Quellen.

Despite enabling organizations to gain insights from their data, the tools have some differences and similarities. Each has strong capabilities and limitations, as seen in the Tableau vs Power BI Vergleich.

Bevor wir uns die Unterschiede ansehen, lassen Sie uns einen kurzen Überblick über jeden einzelnen geben, einschließlich seiner Fähigkeiten und Hauptmerkmale.

Überblick über Tableau und seine Hauptmerkmale

Tableau ist ein beliebter self-service analytics and reporting tool that enables users to create powerful visualizations. The powerful, feature-rich business intelligence solution can collect and combines various data types from several sources.

It then turns the data into easy-to-understand visual representations that users can access using a shared dashboard or other means. Generally, Tableau equips users, across the organization, with the ability to get more from the data, share insights and make informed Geschäftsentscheidungen

Hauptmerkmale von Tableau

Tableau equips businesses with the right tools to discover, analyze and visualize data while providing detailed and shareable insights. With a drag-and-drop feature, companies do not require highly skilled employees to master and use Tableau. Besides these, below are some of the key features of Tableau.

Intuitives Dashboard und erweiterte Visualisierungen

Tableau Ermöglicht Benutzern das Erstellenate dashboards, graphs, tables, Charts, maps, and stories that make it easier to analyze and visualize data hence improving the decision-making processes. Usually, the tool presents its results in easy-to-understand formats suitable for business, technical and non-technical users.

Its dashboards easily represent data in various formats, including text, visualization, and more. Additionally, users can have various views, layouts, formats, filters, and other customization options.


Verbindet sich mit vielen Datentypen und Quellen 

The flexible and scalable tool can connect to many data types from various sources. It can connect to data sources such as databases in different servers such as Microsoft SQL Server, Tableau server, etc. Additionally, it connects to a wide range of file types, including but not limited to text, excel, pdf, JSON, and more. 

Datenaustausch und Zusammenarbeit

Tableaus allow users to instantly and securely share data from different sources in appealing visualizations, dashboards, charts, sheets, and other formats.

Zum Beispiel, businesses can easily and quickly share and collaborate using visualizations or dashboards based on data from several data sources – in on-premise, cloud, and hybrid environments. Consequently, this supports quick feedback, revAnsichten und das Treffen datengestützter Entscheidungen.

Hohe Benutzer- und Datensicherheit

Tableaus have strong authentication and role-based permissions structure that ensure the system’s security, users, and data. Additionally, man kann integrierenate with other security protocols such as Kerberos, Active directory, etc. 

Abfragen von Daten in natürlicher Sprache 

The Ask Data feature allows users to query for data using a natural or common language. The tool automatically provides the most relevant answers using easy-to-understand text or visuals.

Vorausschauende Analyse

Tableau has a dynamic front end and powerful backend that allows users to CREate forecasts oder Trendlinien leicht. Ein Benutzer muss lediglich die Drag-and-Drop-Funktion verwenden, um bestimmte Szenarien oder Optionen festzulegen. Das Tool liefert dann die Datenvorhersagen basierend auf den ausgewählten Parametern.

Microsoft Power BI und seine Hauptmerkmale

Power BI is a Microsoft product comprising multiple data virtualization capabilities in one solution. The tool enables businesses to create data-driven reports and insights, opening up various opportunities to improve decision-making, performance, and revfolgt.

It collects and collates data from multiple sources in the cloud, on-premise, emails, social networks, and other channels. It then analyses that data and then creates appealing visualization that is easy to understand.

Zusatzally, depending on your objective, you can visualize the data as little or as much as necessary. The intelligent business tool lets you securely share insights with internal and external users. 

Key features of Microsoft Power BI

Microsoft Power BI allows users to quickly connect to a wide range of data sources, prepare, visualize, and provide new insights. Some of its key features are highlighted below.

Attractive visualizations

Power BI has a wide range of visualization to provide detailed and visually appealing data representations. The users can create various simple to complex visualizations to create dashboards and reports representing the data under analysis. 

Anpassbare und gemeinsam nutzbare Dashboards

Power BI has customizable dashboards that allow the user to create desired visualizations that provide insights or information based on their goals. The tool has a variety of detailed and appealing visualization, including but not limited to bar carts, column charts, area charts, combo charts, etc. Users can also share and print the dashboards, making collaboration easier.

Hochinformative und teilbare Berichte

Power BI provides reports that combine various dashboards. Each of the dashboards may have a different visualization based on the customization and objective of the analysis. The accounts provide a summary of the data that it can present in different ways while offering insights. Additionally, users can share the reports among themselves.

Daten abrufen-Funktion

Der Power BI Die Funktion „Daten abrufen“ ermöglicht es den Benutzern, Daten aus verschiedenen Quellen zu sammeln, sei es vor Ort, in der Cloud oder in einer hybriden Infrastruktur. Es ermöglicht ihnen auch, relevante Informationen entweder aus strukturierten oder unstrukturierten Quellen zu erhalten.

Datensätze filtern

Power BI users can filter the datasets from single or multiple data sources before visualization. The filtration ensures that the tool works with smaller subsets containing more relevant data with the objective. Ideally, Power BI has several in-built data connectors, including but not limited to SQL database, MailChimp, AzureOracle Salesforce, Facebook und mehr. 

Frage und Antwort zur natürlichen Sprache 

Power BI comes with a Natural Language Q & A box that enables users to ask questions in natural language. 

Tableau vs Power BI Unterschiede

Below are some of the major differences between Tableau und Power BI.

Einfaches Lernen

It is much easier to learn and use Power Bi im Vergleich zu Tableau. Umgekehrt, Tableau does not have a very intuitive interface; hence a bit difficult to understand and use by users with limited data analysis skills. 


Power PI has a lower data capacity of up to 10GB that it can handle from local databases. However, businesses can put their data in the Azure cloud if they need to work on more significant amounts beyond this limit. Power Bi does not import the data for local databases but pulls it from the database. 

Tableau can handle higher capacity without degrading performance. It has a columnar-based structure that only stores unique values from each column. The feature allows it to efficiently fetch billions of rows, hence providing analysis of large amounts of data from multiple sources.

Power Bi vs Tableau kosten

Tableau ist teurer als Power BIdem „Vermischten Geschmack“. Seine Tableau Pro version costs over $35 per month per user. However, Microsoft Power BI is cheaper since its professional version is $27.50 pro Monat pro Benutzer.


Tableau has better support due to its larger customer base and community forum. Besides the forums, Tableau offers support via email, phone, or customer portal. On the other hand, Microsoft Power BI hat begrenzt Kunden-Support. Benutzer können jedoch weiterhin Support-Tickets an Microsoft senden.

Unterstützte Datenquellen

Tableau can access a wide range of servers and databases compared to Power BI. Zusatzally, it can connect to numerous data sources and types. For example, it can access data from text files, excel, pdf, JSON, and more. The list of servers and databases is much bigger compared to Power BI.

Power BI has a limited number of data sources it can access. These servers and databases include SQL Server Database, SQL Server Analysis Services database, IBM DB2 database, Oracle Database, Redshift, Google Big Query, snowflake, SAP Business Warehouse Application Server, etc.

Tableau vs. Microsoft Power BI Leistung

Tableau provides faster and better performance, including when handling bulk data. 

Auf der anderen Seite, Power BI provides fast and good performance but only when working with low volumes of data. But, it performs slower when handling bulk data.

Below is a comparison of the major differences between Tableau und Power BI.

Funktion/OptionTableauPower BI
Art des WerkzeugsBusiness-Intelligence- und Datenanalyse-Tool, das großartige Visualisierungen und Berichte bietet  Analysetool für Geschäftsdaten, das wertvolle Erkenntnisse liefert.  
Kosten  Teurer – Über 35 $ pro Monat und Benutzer  Günstiger bei 27.50 $ pro Monat und Benutzer  
Schnelligkeit  Tableau is faster and scalable, with the capacity to quickly handle large volumes of data.Power BI is fast, but only when handling small amounts of data.
Kundensupport  Bessere UnterstützungBegrenzte Unterstützung
Sprachunterstützung  Unterstützt R-Sprache und Python  Unterstützt auf R-Sprache basierende Visualisierungen
Einbettungsoptionen  Es ist schwierig, Berichte in verschiedene Umgebungen einzubetten  Einfaches Einbetten von Berichten  
Datenquellen  Es unterstützt mehr Datenquellen und -typenWeniger Datenquellen  
Ideale ZielbenutzerErfahrene BenutzerUnerfahrene und erfahrene Benutzer

LeistungSchneller und jederzeit gute LeistungSchnell und gute Leistung, aber nur bei kleineren Datenmengen
Einfaches LernenSchwierigEinfach

Jede der oben genannten Visualisierungstools has great features, benefits, and limitations depending on the business needs. Each has features that make it more suitable for specific business applications. For instance, Tableau is good for its speed and capabilities, while Power BI is affordable and easy to learn and use.

Was macht Tableau besser als Power BI

  • Leistungsstarke Datenerkennungs- und -explorationsfunktionen -: Das Tool enables a user to analyze data quickly and thus get better insights and answers to various business-related Fragen. 
  • Verbindet sich mit vielen verschiedenen Datenquellen und -typen: – Fähigkeit, im Vergleich zu anderen Tools eine Verbindung zu einer größeren Anzahl unterschiedlicher Datenquellen und -typen herzustellen. 
  • Hochgradig skalierbar und in der Lage, große Datenmengen zu verarbeiten: – Besides connecting to a wide range of data types and sources, Tableau can handle large amounts of data compared to Power BI.
  • Hohe Geschwindigkeit und Leistung: Tableau offers data analysis and visualization faster, with high performance and reliability -features vital when dealing with massive amounts of data. 

Was macht Power BI score higher than Tableau

  • Benutzerfreundliches Bedienfeld: - Power BI is easy to learn and use and does not require high technical skills. 
  • Bessere Anpassung der Datenvisualisierung: – It is much easier to create custom visual representations using Power BI als in Tableau.
  • Geringere Kosten. Das Microsoft Power BI kostet weniger als Tableau.
  • Lokale und Cloud-Bereitstellungsoptionen: - Power BI allows the use of either the desktop version, cloud service, or a combination of both, depending on the requirements. The local installation makes it easier to connect to business data, analyze it and create reports. Users can then use the Power BI cloud service to share reports online and collaborate mit anderen. 


Power BI bietet Business Intelligence to the general audience while helping companies improve their data analysis. Due to its lower cost, ease of learning, and use, Power BI is suitable for businesses with limited budgets and Datenwissenschaft skills. It is ideal for individuals, midsize companies, and large enterprises who want to analyze limited amounts of data.

Auf der anderen Seite, Tableau has more features and capabilities that provide more in-depth insights. Generally, it targets advanced users with data analysis skills. It is more suited for handling complex data at scale hence ideal for medium and large businesses with adequate budgets and skilled users. 

  • Amos Kingatua
    Amos Kingatua ist ein IKT-Berater und technischer Redakteur, der Unternehmen beim Aufbau, der Sicherung und dem effizienten Betrieb einer Vielzahl von internen und virtuellen Rechenzentren, IT-Systemen und Netzwerken unterstützt.

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